About UsIkerian AG (formerly RetinAI Medical) is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare.We build AI/ML systems on clinical imaging and patient data. As our Research Data Operations Engineer, you'll own the data backbone our researchers depend on: the pipelines, tooling, and governance that keep thousands of patient images, multiple modalities, and EHR excerpts clean, findable, versioned, and compliant.Job DescriptionWe are looking for a Research Data Operations Engineer to join our team. This role sits at the intersection of data engineering, ML infrastructure, and data governance. It's hands-on. You will write the scripts, stand up the infrastructure, and own data integrity end to end.Key ResponsibilitiesCreate and support EHR extraction, matching and transformation toolsSupport data versioning (DVC) running smoothly, and make updating, tracking, and rolling back datasets routineBuild and maintain pipelines and tools to clean, validate, and organize clinical imaging data and EHR excerptsSupport the migration from our custom image format to DICOMMake data annotation fast and painless for researchersSet up and manage access controls so the right people reach the right dataKeep data handling aligned with clinical and privacy regulationsBuild search and statistics tooling so the team can locate datasets and pull summary stats quicklyOwn data integrity across the full data lifecycleRequirementsUniversity degree in Computer Science or related field. A minimum of 3 years of relevant working experience in a similar role and fieldA minimum of 2 years of experience in the healthcare sectorExcellent verbal and written English communication skillsStrong analytical and problem-solving abilitiesAbility to work independently and as part of a teamStrong Python skills, Rust ideally, R is a plusSolid data engineering fundamentals: pipelines, file and format handling, validation, versioningA high bar for correctness, reproducibility, and data integrityExperience handling sensitive or regulated data, or the discipline to get up to speed quicklySeveral years building and operating data tooling and infrastructureNice to haveDICOM or medical imaging experienceHands-on experience with DVC or similar data-versioning toolsRust in production (deployed in a professional environment)Experience in regulated environments (medical, clinical, GDPR/PHI)BenefitsWhat We OfferA chance to be part of an exceptional team driving innovation in healthcareA competitive salary in a supportive work environment that fosters work-life balanceOpportunities for professional growth and development in an international settingA culture of collaboration and inclusion, which is fundamental to our ethosOccasional travel to our HQ in Switzerland, immersing you in our core operations and company culture

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Research Data Operations Engineer - Full Time - Hybrid